 . You can find the supporting documentation of conv2 at the link below:
. You can find the supporting documentation of conv2 at the link below:smoothing image with moving average filter
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Hello i have a question. how can i smoothing this image with moving average filter 5*5 for only green Thank you so much.

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Answers (1)
  Rushil
 on 21 Feb 2025
        Hi 
From what I understood, the task at hand is to compute a moving average over each 5x5 window, in order to smoothen the image. This can be accomplished using the conv2 function, using a filter of size 5x5 with all values being  . You can find the supporting documentation of conv2 at the link below:
. You can find the supporting documentation of conv2 at the link below:
 . You can find the supporting documentation of conv2 at the link below:
. You can find the supporting documentation of conv2 at the link below:Below is some implementation that may help:
img = imread("file_name.jpeg"); 
% isolate the green channel 
green = img(:, :, 2); 
filter = ones(5, 5) / 25; 
% here we use convolution for faster implementation 
% the result is a moving mean in a 5x5 window 
paddedGreenChannel = padarray(green, [2, 2], 'replicate'); 
% padding to avoid wrong mean calculation for edges 
smoothedGreenChannel = conv2(double(paddedGreenChannel), filter, 'valid'); 
smoothedGreenChannel = uint8(smoothedGreenChannel); 
% replace the green channel with the update one
smoothedImg = img; 
smoothedImg(:, :, 2) = smoothedGreenChannel; 
% to plot and compare both the images 
figure; 
subplot(1, 2, 1); 
imshow(img); 
title('Original Image'); 
subplot(1, 2, 2); 
imshow(smoothedImg); 
title('Smoothed Image'); 
Hope it's helpful
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